{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T08:08:37Z","timestamp":1776586117821,"version":"3.51.2"},"reference-count":52,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T00:00:00Z","timestamp":1671753600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["DTA"],"published-print":{"date-parts":[[2023,6,14]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to introduce an interactive system that relies on the educational data generated from the online Universities services to assess, correct and ameliorate the learning process for both students and faculty.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>In the presented research, data from the online services, provided by a Greek University, prior, during and after the COVID-19 outbreak, are analyzed and utilized in order to ameliorate the offered learning process and provide better quality services to the students. Moreover, according to the learning paths, their presence online and their participation in the services of the University, insights can be derived for their performance, so as to better support and assist them.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The system can deduce the future learning progression of each student, according to the past and the current performance. As a direct consequence, the exploitation of the data can provide a road map for the strategic planning of universities, can indicate how the learning process can be updated and amended, both online and in person, as well as make the learning experience more essential, effective and efficient for the students and aiding the professors to provide a more meaningful and to-the-point learning experience.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>Nowadays, educational activities in academia are strongly supported by online services, information systems and online educational materials. The learning design in the academic setting is primarily facilitated in the University premises. However, the exploitation of the contemporary technologies and supporting materials that are available online can enrich and transform the educational process and its results.<\/jats:p><\/jats:sec>","DOI":"10.1108\/dta-06-2022-0252","type":"journal-article","created":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T13:56:22Z","timestamp":1671803782000},"page":"366-384","source":"Crossref","is-referenced-by-count":9,"title":["Educational data mining in the academic setting: employing the data produced by blended learning to ameliorate the learning process"],"prefix":"10.1108","volume":"57","author":[{"given":"Konstantinos","family":"Chytas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7364-4542","authenticated-orcid":false,"given":"Anastasios","family":"Tsolakidis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4282-2259","authenticated-orcid":false,"given":"Evangelia","family":"Triperina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christos","family":"Skourlas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2022,12,23]]},"reference":[{"key":"key2023062207415161800_ref001","doi-asserted-by":"crossref","first-page":"6286","DOI":"10.1109\/ACCESS.2022.3143035","article-title":"An efficient data mining technique for assessing satisfaction level with online learning for higher education students during the COVID-19","volume":"10","year":"2022","journal-title":"IEEE Access"},{"key":"key2023062207415161800_ref002","first-page":"9299115","article-title":"Data mining techniques to analyze the impact of social media on academic performance of high school students","volume":"2022","year":"2022","journal-title":"Wireless Communications and Mobile Computing"},{"issue":"1","key":"key2023062207415161800_ref003","doi-asserted-by":"crossref","first-page":"131","DOI":"10.19173\/irrodl.v22i4.5401","article-title":"Using educational data mining techniques to identify profiles in self-regulated learning: an empirical evaluation","volume":"23","year":"2022","journal-title":"The International Review of Research in Open and Distributed Learning"},{"issue":"1","key":"key2023062207415161800_ref004","first-page":"3","article-title":"The state of educational data mining in 2009: a review and future visions","volume":"1","year":"2009","journal-title":"Journal of Educational Data Mining"},{"issue":"1","key":"key2023062207415161800_ref005","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1007\/s10639-017-9616-z","article-title":"Educational data mining applications and tasks: a survey of the last 10 years","volume":"23","year":"2018","journal-title":"Education and Information Technologies"},{"key":"key2023062207415161800_ref006","unstructured":"Brown, M., Dehoney, J. and Millichap, N. 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